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DeepSeek-V3.2-Exp vs Magistral Small 2506
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 20.4% higher average benchmark score. DeepSeek-V3.2-Exp is available on 2 providers. Overall, DeepSeek-V3.2-Exp is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.2-Exp was introduced as an experimental release, designed to test new architectural innovations and training methodologies. Built to explore the boundaries of mixture-of-experts design, it serves as a research preview for techniques that may be incorporated into future stable releases.
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Mistral AI
Magistral Small was created as an efficient reasoning-focused variant, designed to bring analytical capabilities to applications with tighter resource constraints. Built to balance problem-solving depth with practical deployment needs, it extends reasoning-enhanced AI to broader use cases.
3 months newer
Magistral Small 2506
Mistral AI
2025-06-10
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:81.1%(+20.4%)
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Magistral Small 2506
Average Score:60.7%
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Knowledge Cutoff
Training data recency comparison
Magistral Small 2506
2025-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.2-Exp
2 providers
Novita
ZeroEval
Throughput: 100 tok/s
Latency: 0.7ms
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Magistral Small 2506
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DeepSeek-V3.2-Exp
Avg Score:81.1%(+20.4%)
Providers:2
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Magistral Small 2506
Avg Score:60.7%
Providers:0